Visual Reranking with Local Learning Consistency

2010 ◽  
pp. 163-173 ◽  
Author(s):  
Xinmei Tian ◽  
Linjun Yang ◽  
Xiuqing Wu ◽  
Xian-Sheng Hua
Keyword(s):  
Local Learning

Meeting the educational needs of a gifted child: A parent’s narrative

2019 ◽  
Vol 35 (3) ◽  
pp. 189-200
Author(s):  
SA Manasawala ◽  
DN Desai
Keyword(s):  
Support Groups ◽  
Educational Needs ◽  
Education For All ◽  
Gifted Children ◽  
Local Learning ◽  
Special Population ◽  
Learning Resources ◽  
Gifted Child ◽  
Community Or

India is currently focusing on providing education for all, and special population like the gifted is being neglected. This is evident in the case of Aditya (IQ 145), a 7-year-old boy, and his parents who after discovering that their child is gifted attempt to meet his unique educational needs. Despite evidence of Aditya qualifying in examination two grades above his age level, the school authorities neither offer acceleration nor provide appropriate resources. This study attempts to delineate the importance of combined efforts of parent, school, and the community in nurturing gifted children. Finally, the researcher makes a few recommendations for parents: (i) create support groups to share parenting experiences; (ii) explore online and local learning resources to educate themselves about giftedness and nurture their children; and (iii) identify mentors in the community or other parents who can support in meeting the educational needs of these children.

scholarly journals Globally convergent algorithms with local learning rates

2002 ◽  
Vol 13 (3) ◽  
pp. 774-779 ◽  
Author(s):  
G.D. Magoulas ◽  
V.P. Plagianakos ◽  
M.N. Vrahatis
Keyword(s):  
Local Learning ◽  
Globally Convergent ◽  
Learning Rates

Fighting eviction: Local learning and the experience of inequality among India’sadivāsi

2015 ◽  
Vol 13 (3) ◽  
pp. 262-280 ◽  
Author(s):  
Daniel Buckles ◽  
Rajeev Khedkar ◽  
Bansi Ghevde
Keyword(s):  
Local Learning

Group sparse feature selection on local learning based clustering

2016 ◽  
Vol 171 ◽  
pp. 1118-1130 ◽  
Author(s):  
Yue Wu ◽  
Can Wang ◽  
Jiajun Bu ◽  
Chun Chen
Keyword(s):  
Feature Selection ◽  
Local Learning ◽  
Sparse Feature Selection
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